Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 55292 |
| Missing cells | 3262 |
| Missing cells (%) | 0.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 6.0 MiB |
| Average record size in memory | 113.0 B |
Variable types
| Categorical | 5 |
|---|---|
| Numeric | 9 |
| Boolean | 1 |
User Comments Added has constant value "0" | Constant |
Video Title has a high cardinality: 223 distinct values | High cardinality |
External Video ID has a high cardinality: 223 distinct values | High cardinality |
Thumbnail link has a high cardinality: 223 distinct values | High cardinality |
Country Code has a high cardinality: 233 distinct values | High cardinality |
Video Length is highly correlated with Average View Percentage | High correlation |
Views is highly correlated with Video Likes Added | High correlation |
Video Likes Added is highly correlated with Views | High correlation |
Average View Percentage is highly correlated with Video Length | High correlation |
Views is highly correlated with Video Likes Added and 2 other fields | High correlation |
Video Likes Added is highly correlated with Views and 2 other fields | High correlation |
Video Dislikes Added is highly correlated with Views and 2 other fields | High correlation |
Video Likes Removed is highly correlated with Views and 2 other fields | High correlation |
User Subscriptions Added is highly correlated with User Subscriptions Removed | High correlation |
User Subscriptions Removed is highly correlated with User Subscriptions Added | High correlation |
Views is highly correlated with Video Likes Added | High correlation |
Video Likes Added is highly correlated with Views | High correlation |
Is Subscribed is highly correlated with User Comments Added | High correlation |
User Comments Added is highly correlated with Is Subscribed | High correlation |
Views is highly correlated with Video Likes Added and 2 other fields | High correlation |
Video Likes Added is highly correlated with Views and 4 other fields | High correlation |
Video Dislikes Added is highly correlated with Views and 2 other fields | High correlation |
Video Likes Removed is highly correlated with Views and 3 other fields | High correlation |
User Subscriptions Added is highly correlated with Video Likes Added and 2 other fields | High correlation |
User Subscriptions Removed is highly correlated with Video Likes Added and 1 other fields | High correlation |
Average View Percentage has 1438 (2.6%) missing values | Missing |
Average Watch Time has 1438 (2.6%) missing values | Missing |
Views is highly skewed (γ1 = 119.5300004) | Skewed |
Video Likes Added is highly skewed (γ1 = 99.02482423) | Skewed |
Video Dislikes Added is highly skewed (γ1 = 105.6523379) | Skewed |
Video Likes Removed is highly skewed (γ1 = 83.20521254) | Skewed |
User Subscriptions Added is highly skewed (γ1 = 117.6209316) | Skewed |
User Subscriptions Removed is highly skewed (γ1 = 84.02905204) | Skewed |
Views has 1438 (2.6%) zeros | Zeros |
Video Likes Added has 34576 (62.5%) zeros | Zeros |
Video Dislikes Added has 53135 (96.1%) zeros | Zeros |
Video Likes Removed has 52313 (94.6%) zeros | Zeros |
User Subscriptions Added has 46830 (84.7%) zeros | Zeros |
User Subscriptions Removed has 53796 (97.3%) zeros | Zeros |
Reproduction
| Analysis started | 2022-04-04 00:45:30.667774 |
|---|---|
| Analysis finished | 2022-04-04 00:45:49.243577 |
| Duration | 18.58 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 223 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 432.1 KiB |
| How I Would Learn Data Science (If I Had to Start Over) | 428 |
|---|---|
| The Best Free Data Science Courses Nobody is Talking About | 405 |
| 3 Proven Data Science Projects for Beginners (Kaggle) | 390 |
| How I Learned Data Science | 384 |
| How I Would Learn Data Science in 2021 (What Has Changed?) | 380 |
| Other values (218) |
Length
| Max length | 100 |
|---|---|
| Median length | 55 |
| Mean length | 54.33408088 |
| Min length | 21 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS |
|---|---|
| 2nd row | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS |
| 3rd row | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS |
| 4th row | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS |
| 5th row | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS |
Common Values
| Value | Count | Frequency (%) |
| How I Would Learn Data Science (If I Had to Start Over) | 428 | 0.8% |
| The Best Free Data Science Courses Nobody is Talking About | 405 | 0.7% |
| 3 Proven Data Science Projects for Beginners (Kaggle) | 390 | 0.7% |
| How I Learned Data Science | 384 | 0.7% |
| How I Would Learn Data Science in 2021 (What Has Changed?) | 380 | 0.7% |
| Why I Quit Data Science | 377 | 0.7% |
| Beginner Kaggle Data Science Project Walk-Through (Titanic) | 376 | 0.7% |
| Why You Probably Won't Become a Data Scientist | 375 | 0.7% |
| How I Would Learn Data Science in 2022 (If I Had to Start Over) | 373 | 0.7% |
| 3 Reasons You Should NOT Become a Data Scientist | 369 | 0.7% |
| Other values (213) | 51435 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| data | 49359 | 9.6% |
| science | 37383 | 7.2% |
| 20756 | 4.0% | |
| a | 12450 | 2.4% |
| to | 11723 | 2.3% |
| the | 11399 | 2.2% |
| how | 10378 | 2.0% |
| your | 7708 | 1.5% |
| i | 7393 | 1.4% |
| projects | 7174 | 1.4% |
| Other values (610) | 340682 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 223 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 432.1 KiB |
| 4OZip0cgOho | 428 |
|---|---|
| Ip50cXvpWY4 | 405 |
| 8igH8qZafpo | 390 |
| n3vw0M5RrPU | 384 |
| 41Clrh6nv1s | 380 |
| Other values (218) |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 11 |
| Min length | 11 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OtqQYqRNDGI |
|---|---|
| 2nd row | OtqQYqRNDGI |
| 3rd row | OtqQYqRNDGI |
| 4th row | OtqQYqRNDGI |
| 5th row | OtqQYqRNDGI |
Common Values
| Value | Count | Frequency (%) |
| 4OZip0cgOho | 428 | 0.8% |
| Ip50cXvpWY4 | 405 | 0.7% |
| 8igH8qZafpo | 390 | 0.7% |
| n3vw0M5RrPU | 384 | 0.7% |
| 41Clrh6nv1s | 380 | 0.7% |
| SVtRsDhHlDk | 377 | 0.7% |
| I3FBJdiExcg | 376 | 0.7% |
| sHRq-LshG3U | 375 | 0.7% |
| xpIFS6jZbe8 | 373 | 0.7% |
| m5pwx3hgtzM | 369 | 0.7% |
| Other values (213) | 51435 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 4ozip0cgoho | 428 | 0.8% |
| ip50cxvpwy4 | 405 | 0.7% |
| 8igh8qzafpo | 390 | 0.7% |
| n3vw0m5rrpu | 384 | 0.7% |
| 41clrh6nv1s | 380 | 0.7% |
| svtrsdhhldk | 377 | 0.7% |
| i3fbjdiexcg | 376 | 0.7% |
| shrq-lshg3u | 375 | 0.7% |
| xpifs6jzbe8 | 373 | 0.7% |
| m5pwx3hgtzm | 369 | 0.7% |
| Other values (213) | 51435 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 202 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 896.6780728 |
| Minimum | 47 |
|---|---|
| Maximum | 5029 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 47 |
|---|---|
| 5-th percentile | 60 |
| Q1 | 375 |
| median | 545 |
| Q3 | 934 |
| 95-th percentile | 2968 |
| Maximum | 5029 |
| Range | 4982 |
| Interquartile range (IQR) | 559 |
Descriptive statistics
| Standard deviation | 927.3808005 |
|---|---|
| Coefficient of variation (CV) | 1.034240525 |
| Kurtosis | 4.531092553 |
| Mean | 896.6780728 |
| Median Absolute Deviation (MAD) | 214 |
| Skewness | 2.169722905 |
| Sum | 49579124 |
| Variance | 860035.1492 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 59 | 1248 | 2.3% |
| 467 | 865 | 1.6% |
| 375 | 836 | 1.5% |
| 495 | 807 | 1.5% |
| 549 | 733 | 1.3% |
| 291 | 717 | 1.3% |
| 392 | 623 | 1.1% |
| 334 | 611 | 1.1% |
| 378 | 555 | 1.0% |
| 355 | 552 | 1.0% |
| Other values (192) | 47745 |
| Value | Count | Frequency (%) |
| 47 | 230 | 0.4% |
| 51 | 133 | 0.2% |
| 53 | 196 | 0.4% |
| 55 | 166 | 0.3% |
| 56 | 491 | 0.9% |
| 57 | 191 | 0.3% |
| 59 | 1248 | |
| 60 | 265 | 0.5% |
| 114 | 78 | 0.1% |
| 128 | 244 | 0.4% |
| Value | Count | Frequency (%) |
| 5029 | 183 | |
| 5005 | 169 | |
| 4518 | 212 | |
| 4119 | 327 | |
| 4112 | 297 | |
| 3735 | 177 | |
| 3706 | 207 | |
| 3659 | 242 | |
| 3493 | 207 | |
| 3413 | 174 |
| Distinct | 223 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 432.1 KiB |
| https://i.ytimg.com/vi/4OZip0cgOho/hqdefault.jpg | 428 |
|---|---|
| https://i.ytimg.com/vi/Ip50cXvpWY4/hqdefault.jpg | 405 |
| https://i.ytimg.com/vi/8igH8qZafpo/hqdefault.jpg | 390 |
| https://i.ytimg.com/vi/n3vw0M5RrPU/hqdefault.jpg | 384 |
| https://i.ytimg.com/vi/41Clrh6nv1s/hqdefault.jpg | 380 |
| Other values (218) |
Length
| Max length | 48 |
|---|---|
| Median length | 48 |
| Mean length | 48 |
| Min length | 48 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg |
|---|---|
| 2nd row | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg |
| 3rd row | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg |
| 4th row | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg |
| 5th row | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg |
Common Values
| Value | Count | Frequency (%) |
| https://i.ytimg.com/vi/4OZip0cgOho/hqdefault.jpg | 428 | 0.8% |
| https://i.ytimg.com/vi/Ip50cXvpWY4/hqdefault.jpg | 405 | 0.7% |
| https://i.ytimg.com/vi/8igH8qZafpo/hqdefault.jpg | 390 | 0.7% |
| https://i.ytimg.com/vi/n3vw0M5RrPU/hqdefault.jpg | 384 | 0.7% |
| https://i.ytimg.com/vi/41Clrh6nv1s/hqdefault.jpg | 380 | 0.7% |
| https://i.ytimg.com/vi/SVtRsDhHlDk/hqdefault.jpg | 377 | 0.7% |
| https://i.ytimg.com/vi/I3FBJdiExcg/hqdefault.jpg | 376 | 0.7% |
| https://i.ytimg.com/vi/sHRq-LshG3U/hqdefault.jpg | 375 | 0.7% |
| https://i.ytimg.com/vi/xpIFS6jZbe8/hqdefault.jpg | 373 | 0.7% |
| https://i.ytimg.com/vi/m5pwx3hgtzM/hqdefault.jpg | 369 | 0.7% |
| Other values (213) | 51435 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| https://i.ytimg.com/vi/4ozip0cgoho/hqdefault.jpg | 428 | 0.8% |
| https://i.ytimg.com/vi/ip50cxvpwy4/hqdefault.jpg | 405 | 0.7% |
| https://i.ytimg.com/vi/8igh8qzafpo/hqdefault.jpg | 390 | 0.7% |
| https://i.ytimg.com/vi/n3vw0m5rrpu/hqdefault.jpg | 384 | 0.7% |
| https://i.ytimg.com/vi/41clrh6nv1s/hqdefault.jpg | 380 | 0.7% |
| https://i.ytimg.com/vi/svtrsdhhldk/hqdefault.jpg | 377 | 0.7% |
| https://i.ytimg.com/vi/i3fbjdiexcg/hqdefault.jpg | 376 | 0.7% |
| https://i.ytimg.com/vi/shrq-lshg3u/hqdefault.jpg | 375 | 0.7% |
| https://i.ytimg.com/vi/xpifs6jzbe8/hqdefault.jpg | 373 | 0.7% |
| https://i.ytimg.com/vi/m5pwx3hgtzm/hqdefault.jpg | 369 | 0.7% |
| Other values (213) | 51435 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 233 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 386 |
| Missing (%) | 0.7% |
| Memory size | 432.1 KiB |
| NL | 445 |
|---|---|
| AU | 445 |
| US | 445 |
| DE | 445 |
| GB | 445 |
| Other values (228) |
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | HK |
|---|---|
| 2nd row | ME |
| 3rd row | RW |
| 4th row | US |
| 5th row | DE |
Common Values
| Value | Count | Frequency (%) |
| NL | 445 | 0.8% |
| AU | 445 | 0.8% |
| US | 445 | 0.8% |
| DE | 445 | 0.8% |
| GB | 445 | 0.8% |
| IN | 445 | 0.8% |
| MY | 444 | 0.8% |
| FR | 444 | 0.8% |
| VN | 444 | 0.8% |
| CA | 444 | 0.8% |
| Other values (223) | 50460 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| nl | 445 | 0.8% |
| us | 445 | 0.8% |
| de | 445 | 0.8% |
| gb | 445 | 0.8% |
| in | 445 | 0.8% |
| au | 445 | 0.8% |
| my | 444 | 0.8% |
| fr | 444 | 0.8% |
| vn | 444 | 0.8% |
| ca | 444 | 0.8% |
| Other values (223) | 50460 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 54.1 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 28588 | |
| True | 26704 |
Views
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONSKEWEDZEROS| Distinct | 1558 |
|---|---|
| Distinct (%) | 2.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 100.5731571 |
| Minimum | 0 |
|---|---|
| Maximum | 285593 |
| Zeros | 1438 |
| Zeros (%) | 2.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 7 |
| Q3 | 27 |
| 95-th percentile | 241.45 |
| Maximum | 285593 |
| Range | 285593 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 1704.966002 |
|---|---|
| Coefficient of variation (CV) | 16.9524956 |
| Kurtosis | 17956.63941 |
| Mean | 100.5731571 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 119.5300004 |
| Sum | 5560891 |
| Variance | 2906909.069 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 9837 | |
| 2 | 5502 | 10.0% |
| 3 | 3783 | 6.8% |
| 4 | 2760 | 5.0% |
| 5 | 2104 | 3.8% |
| 6 | 1834 | 3.3% |
| 7 | 1582 | 2.9% |
| 0 | 1438 | 2.6% |
| 8 | 1306 | 2.4% |
| 9 | 1160 | 2.1% |
| Other values (1548) | 23986 |
| Value | Count | Frequency (%) |
| 0 | 1438 | 2.6% |
| 1 | 9837 | |
| 2 | 5502 | |
| 3 | 3783 | 6.8% |
| 4 | 2760 | 5.0% |
| 5 | 2104 | 3.8% |
| 6 | 1834 | 3.3% |
| 7 | 1582 | 2.9% |
| 8 | 1306 | 2.4% |
| 9 | 1160 | 2.1% |
| Value | Count | Frequency (%) |
| 285593 | 1 | |
| 203055 | 1 | |
| 70240 | 1 | |
| 49982 | 1 | |
| 44835 | 1 | |
| 43314 | 1 | |
| 42422 | 1 | |
| 35950 | 1 | |
| 33098 | 1 | |
| 27263 | 1 |
Video Likes Added
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONSKEWEDZEROS| Distinct | 317 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.239311293 |
| Minimum | 0 |
|---|---|
| Maximum | 9165 |
| Zeros | 34576 |
| Zeros (%) | 62.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 11 |
| Maximum | 9165 |
| Range | 9165 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 65.29145094 |
|---|---|
| Coefficient of variation (CV) | 15.40142878 |
| Kurtosis | 12536.66906 |
| Mean | 4.239311293 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 99.02482423 |
| Sum | 234400 |
| Variance | 4262.973566 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 34576 | |
| 1 | 8632 | 15.6% |
| 2 | 3341 | 6.0% |
| 3 | 1837 | 3.3% |
| 4 | 1172 | 2.1% |
| 5 | 852 | 1.5% |
| 6 | 658 | 1.2% |
| 7 | 509 | 0.9% |
| 8 | 362 | 0.7% |
| 9 | 285 | 0.5% |
| Other values (307) | 3068 | 5.5% |
| Value | Count | Frequency (%) |
| 0 | 34576 | |
| 1 | 8632 | 15.6% |
| 2 | 3341 | 6.0% |
| 3 | 1837 | 3.3% |
| 4 | 1172 | 2.1% |
| 5 | 852 | 1.5% |
| 6 | 658 | 1.2% |
| 7 | 509 | 0.9% |
| 8 | 362 | 0.7% |
| 9 | 285 | 0.5% |
| Value | Count | Frequency (%) |
| 9165 | 1 | |
| 8442 | 1 | |
| 4386 | 1 | |
| 2629 | 1 | |
| 1917 | 1 | |
| 1776 | 1 | |
| 1723 | 1 | |
| 1680 | 1 | |
| 1589 | 1 | |
| 1481 | 1 |
| Distinct | 41 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1060551255 |
| Minimum | 0 |
|---|---|
| Maximum | 399 |
| Zeros | 53135 |
| Zeros (%) | 96.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 399 |
| Range | 399 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 2.507351484 |
|---|---|
| Coefficient of variation (CV) | 23.64196423 |
| Kurtosis | 14023.29063 |
| Mean | 0.1060551255 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 105.6523379 |
| Sum | 5864 |
| Variance | 6.286811466 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 0 | 53135 | |
| 1 | 1496 | 2.7% |
| 2 | 307 | 0.6% |
| 3 | 126 | 0.2% |
| 4 | 50 | 0.1% |
| 5 | 34 | 0.1% |
| 6 | 27 | < 0.1% |
| 7 | 17 | < 0.1% |
| 10 | 13 | < 0.1% |
| 8 | 12 | < 0.1% |
| Other values (31) | 75 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 53135 | |
| 1 | 1496 | 2.7% |
| 2 | 307 | 0.6% |
| 3 | 126 | 0.2% |
| 4 | 50 | 0.1% |
| 5 | 34 | 0.1% |
| 6 | 27 | < 0.1% |
| 7 | 17 | < 0.1% |
| 8 | 12 | < 0.1% |
| 9 | 9 | < 0.1% |
| Value | Count | Frequency (%) |
| 399 | 1 | |
| 230 | 1 | |
| 174 | 1 | |
| 170 | 1 | |
| 147 | 1 | |
| 131 | 1 | |
| 54 | 1 | |
| 51 | 1 | |
| 39 | 1 | |
| 38 | 2 |
| Distinct | 53 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.175576937 |
| Minimum | 0 |
|---|---|
| Maximum | 436 |
| Zeros | 52313 |
| Zeros (%) | 94.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 436 |
| Range | 436 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 3.601170733 |
|---|---|
| Coefficient of variation (CV) | 20.51049981 |
| Kurtosis | 8239.726658 |
| Mean | 0.175576937 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 83.20521254 |
| Sum | 9708 |
| Variance | 12.96843065 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 52313 | |
| 1 | 1891 | 3.4% |
| 2 | 485 | 0.9% |
| 3 | 185 | 0.3% |
| 4 | 97 | 0.2% |
| 5 | 64 | 0.1% |
| 6 | 41 | 0.1% |
| 7 | 34 | 0.1% |
| 9 | 24 | < 0.1% |
| 8 | 23 | < 0.1% |
| Other values (43) | 135 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 52313 | |
| 1 | 1891 | 3.4% |
| 2 | 485 | 0.9% |
| 3 | 185 | 0.3% |
| 4 | 97 | 0.2% |
| 5 | 64 | 0.1% |
| 6 | 41 | 0.1% |
| 7 | 34 | 0.1% |
| 8 | 23 | < 0.1% |
| 9 | 24 | < 0.1% |
| Value | Count | Frequency (%) |
| 436 | 1 | |
| 356 | 1 | |
| 327 | 1 | |
| 308 | 1 | |
| 237 | 1 | |
| 149 | 1 | |
| 121 | 1 | |
| 102 | 1 | |
| 77 | 1 | |
| 76 | 1 |
| Distinct | 239 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.365278883 |
| Minimum | 0 |
|---|---|
| Maximum | 9599 |
| Zeros | 46830 |
| Zeros (%) | 84.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 3 |
| Maximum | 9599 |
| Range | 9599 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 65.88953882 |
|---|---|
| Coefficient of variation (CV) | 27.85698519 |
| Kurtosis | 16418.41419 |
| Mean | 2.365278883 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 117.6209316 |
| Sum | 130781 |
| Variance | 4341.431326 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 46830 | |
| 1 | 3697 | 6.7% |
| 2 | 1311 | 2.4% |
| 3 | 707 | 1.3% |
| 4 | 428 | 0.8% |
| 5 | 297 | 0.5% |
| 6 | 241 | 0.4% |
| 7 | 169 | 0.3% |
| 8 | 132 | 0.2% |
| 9 | 118 | 0.2% |
| Other values (229) | 1362 | 2.5% |
| Value | Count | Frequency (%) |
| 0 | 46830 | |
| 1 | 3697 | 6.7% |
| 2 | 1311 | 2.4% |
| 3 | 707 | 1.3% |
| 4 | 428 | 0.8% |
| 5 | 297 | 0.5% |
| 6 | 241 | 0.4% |
| 7 | 169 | 0.3% |
| 8 | 132 | 0.2% |
| 9 | 118 | 0.2% |
| Value | Count | Frequency (%) |
| 9599 | 1 | |
| 9560 | 1 | |
| 3760 | 1 | |
| 2615 | 1 | |
| 1754 | 1 | |
| 1563 | 1 | |
| 1505 | 1 | |
| 1458 | 1 | |
| 1246 | 1 | |
| 1197 | 1 |
| Distinct | 25 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.05338927874 |
| Minimum | 0 |
|---|---|
| Maximum | 103 |
| Zeros | 53796 |
| Zeros (%) | 97.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 103 |
| Range | 103 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.7669446756 |
|---|---|
| Coefficient of variation (CV) | 14.36514397 |
| Kurtosis | 10080.24578 |
| Mean | 0.05338927874 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 84.02905204 |
| Sum | 2952 |
| Variance | 0.5882041354 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 0 | 53796 | |
| 1 | 1048 | 1.9% |
| 2 | 210 | 0.4% |
| 3 | 83 | 0.2% |
| 4 | 61 | 0.1% |
| 5 | 27 | < 0.1% |
| 6 | 23 | < 0.1% |
| 7 | 8 | < 0.1% |
| 9 | 5 | < 0.1% |
| 11 | 4 | < 0.1% |
| Other values (15) | 27 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 53796 | |
| 1 | 1048 | 1.9% |
| 2 | 210 | 0.4% |
| 3 | 83 | 0.2% |
| 4 | 61 | 0.1% |
| 5 | 27 | < 0.1% |
| 6 | 23 | < 0.1% |
| 7 | 8 | < 0.1% |
| 8 | 3 | < 0.1% |
| 9 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 103 | 1 | < 0.1% |
| 93 | 1 | < 0.1% |
| 46 | 1 | < 0.1% |
| 22 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 19 | 1 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 1 | < 0.1% |
| 16 | 3 | |
| 15 | 1 | < 0.1% |
| Distinct | 53339 |
|---|---|
| Distinct (%) | 99.0% |
| Missing | 1438 |
| Missing (%) | 2.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3478206381 |
| Minimum | 0 |
|---|---|
| Maximum | 4.96779661 |
| Zeros | 50 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.01261269551 |
| Q1 | 0.1459483144 |
| median | 0.3209825692 |
| Q3 | 0.4861525058 |
| 95-th percentile | 0.8828756256 |
| Maximum | 4.96779661 |
| Range | 4.96779661 |
| Interquartile range (IQR) | 0.3402041914 |
Descriptive statistics
| Standard deviation | 0.2597338836 |
|---|---|
| Coefficient of variation (CV) | 0.7467466136 |
| Kurtosis | 5.793724931 |
| Mean | 0.3478206381 |
| Median Absolute Deviation (MAD) | 0.1702192838 |
| Skewness | 1.238104983 |
| Sum | 18731.53264 |
| Variance | 0.0674616903 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 108 | 0.2% |
| 0 | 50 | 0.1% |
| 0.9996607143 | 10 | < 0.1% |
| 0.9931090909 | 8 | < 0.1% |
| 0.9829803922 | 7 | < 0.1% |
| 0.9969661017 | 7 | < 0.1% |
| 0.9995510511 | 6 | < 0.1% |
| 0.9831568627 | 6 | < 0.1% |
| 0.9994341085 | 6 | < 0.1% |
| 0.9856792453 | 6 | < 0.1% |
| Other values (53329) | 53640 | |
| (Missing) | 1438 | 2.6% |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 8.275261324 × 10-6 | 1 | < 0.1% |
| 2.433528616 × 10-5 | 1 | < 0.1% |
| 4.403669725 × 10-5 | 1 | < 0.1% |
| 6.88712763 × 10-5 | 1 | < 0.1% |
| 9.255178493 × 10-5 | 1 | < 0.1% |
| 9.718172983 × 10-5 | 1 | < 0.1% |
| 0.0001101291638 | 1 | < 0.1% |
| 0.0001131221719 | 1 | < 0.1% |
| 0.0001221406992 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 4.96779661 | 1 | |
| 4.618173448 | 1 | |
| 3.586967797 | 1 | |
| 3.3365 | 1 | |
| 2.940123457 | 1 | |
| 2.89787234 | 1 | |
| 2.827118644 | 1 | |
| 2.598663477 | 1 | |
| 2.496910714 | 1 | |
| 2.465447368 | 1 |
| Distinct | 50508 |
|---|---|
| Distinct (%) | 93.8% |
| Missing | 1438 |
| Missing (%) | 2.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 205.2971559 |
| Minimum | 0 |
|---|---|
| Maximum | 5027.66 |
| Zeros | 50 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 432.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 11.50155 |
| Q1 | 85.44289063 |
| median | 170.139725 |
| Q3 | 259.4499583 |
| 95-th percentile | 520.835 |
| Maximum | 5027.66 |
| Range | 5027.66 |
| Interquartile range (IQR) | 174.0070677 |
Descriptive statistics
| Standard deviation | 206.5421061 |
|---|---|
| Coefficient of variation (CV) | 1.006064137 |
| Kurtosis | 53.25812607 |
| Mean | 205.2971559 |
| Median Absolute Deviation (MAD) | 87.09354368 |
| Skewness | 4.991217213 |
| Sum | 11056073.04 |
| Variance | 42659.6416 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 51 | 0.1% |
| 0 | 50 | 0.1% |
| 12 | 33 | 0.1% |
| 4 | 33 | 0.1% |
| 2 | 32 | 0.1% |
| 11 | 32 | 0.1% |
| 59 | 32 | 0.1% |
| 0.9 | 31 | 0.1% |
| 10.9 | 31 | 0.1% |
| 3 | 31 | 0.1% |
| Other values (50498) | 53498 | |
| (Missing) | 1438 | 2.6% |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 0.019 | 1 | < 0.1% |
| 0.024 | 1 | < 0.1% |
| 0.054 | 1 | < 0.1% |
| 0.065 | 1 | < 0.1% |
| 0.1 | 7 | < 0.1% |
| 0.109 | 1 | < 0.1% |
| 0.113 | 1 | < 0.1% |
| 0.147 | 1 | < 0.1% |
| 0.162 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 5027.66 | 1 | |
| 4259.5 | 1 | |
| 4118.721 | 1 | |
| 3878.559 | 1 | |
| 3840.17 | 1 | |
| 3712.5025 | 1 | |
| 3708.933 | 1 | |
| 3705.327 | 1 | |
| 3492.461 | 1 | |
| 3492.312 | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 432.1 KiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 55292 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 55292 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Video Title | External Video ID | Video Length | Thumbnail link | Country Code | Is Subscribed | Views | Video Likes Added | Video Dislikes Added | Video Likes Removed | User Subscriptions Added | User Subscriptions Removed | Average View Percentage | Average Watch Time | User Comments Added | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | HK | True | 23 | 1 | 0 | 0 | 2 | 0 | 0.671870 | 39.640348 | 0 |
| 1 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | ME | True | 3 | 0 | 0 | 0 | 0 | 0 | 0.498870 | 29.433333 | 0 |
| 2 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | RW | True | 2 | 0 | 0 | 0 | 0 | 0 | 0.681780 | 40.225000 | 0 |
| 3 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | US | True | 979 | 81 | 6 | 8 | 16 | 4 | 0.694854 | 40.996389 | 0 |
| 4 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | DE | False | 75 | 3 | 0 | 1 | 0 | 0 | 0.661515 | 39.029373 | 0 |
| 5 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | ZZ | True | 4 | 0 | 0 | 0 | 0 | 0 | 0.784517 | 46.286500 | 0 |
| 6 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | AR | True | 30 | 3 | 0 | 0 | 0 | 0 | 0.671451 | 39.615600 | 0 |
| 7 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | BB | False | 1 | 0 | 0 | 0 | 0 | 0 | 0.508475 | 30.000000 | 0 |
| 8 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | KZ | True | 6 | 0 | 0 | 0 | 0 | 0 | 0.649322 | 38.310000 | 0 |
| 9 | 🌶 Hot Topics in Tech: Data Science Explained #SHORTS | OtqQYqRNDGI | 59 | https://i.ytimg.com/vi/OtqQYqRNDGI/hqdefault.jpg | NP | False | 12 | 0 | 0 | 0 | 0 | 0 | 0.389364 | 22.972500 | 0 |
Last rows
| Video Title | External Video ID | Video Length | Thumbnail link | Country Code | Is Subscribed | Views | Video Likes Added | Video Dislikes Added | Video Likes Removed | User Subscriptions Added | User Subscriptions Removed | Average View Percentage | Average Watch Time | User Comments Added | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 55282 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | IQ | False | 2 | 0 | 0 | 0 | 0 | 0 | 1.088774 | 57.705000 | 0 |
| 55283 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | YE | True | 2 | 0 | 0 | 0 | 0 | 0 | 0.549057 | 29.100000 | 0 |
| 55284 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | IR | True | 3 | 0 | 0 | 0 | 0 | 0 | 0.916774 | 48.589000 | 0 |
| 55285 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | IT | True | 36 | 2 | 0 | 0 | 0 | 0 | 0.554682 | 29.398139 | 0 |
| 55286 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | IE | False | 1 | 0 | 0 | 0 | 0 | 0 | 0.937283 | 49.676000 | 0 |
| 55287 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | MM | False | 1 | 0 | 0 | 0 | 0 | 0 | 0.622642 | 33.000000 | 0 |
| 55288 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | SA | True | 14 | 1 | 0 | 0 | 0 | 0 | 0.515569 | 27.325143 | 0 |
| 55289 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | DZ | False | 2 | 0 | 0 | 0 | 0 | 0 | 0.782075 | 41.450000 | 0 |
| 55290 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | MX | False | 11 | 0 | 0 | 0 | 0 | 0 | 0.636178 | 33.717455 | 0 |
| 55291 | #66DaysOfData - 3 Reasons to Start! | sICJ6a2wX5g | 53 | https://i.ytimg.com/vi/sICJ6a2wX5g/hqdefault.jpg | SR | True | 1 | 0 | 0 | 0 | 0 | 0 | 0.985679 | 52.241000 | 0 |